code: def test_predict_no_preprocessor_no_training():
      checkpoint = LightGBMCheckpoint.from_model(booster=model)
      predictor = LightGBMPredictor.from_checkpoint(checkpoint)
  
      data_batch = np.array([[1, 2], [3, 4], [5, 6]])
      predictions = predictor.predict(data_batch)
  
      assert len(predictions) == 3
  
file_path: ray/python/ray/train/tests/test_lightgbm_predictor.py
imports: import re
  import lightgbm
  import numpy
  import pandas
  import pytest
  from ray.air.constants import MAX_REPR_LENGTH
  from ray.air.util.data_batch_conversion import _convert_pandas_to_batch_type
  from ray.train.lightgbm import LightGBMCheckpoint, LightGBMPredictor
  from ray.train.predictor import TYPE_TO_ENUM
  from ray.train.tests.dummy_preprocessor import DummyPreprocessor
label_desc: Use image node_id 8 for calling a global function with example usage: test_predict_no_preprocessor_no_training() without return types